Rui Gan
Scholar

Rui Gan

Google Scholar ID: 8XqrbDkAAAAJ
University of wisconsin-madison
Traffic EngineeringAI in TransortationAutonomous DrvingCAVLarge Language Model
Citations & Impact
All-time
Citations
64
 
H-index
4
 
i10-index
1
 
Publications
15
 
Co-authors
1
list available
Resume (English only)
Research Experience
  • Focuses on the development of intelligent connected autonomous vehicles and their infrastructures, specifically including: trajectory prediction and planning for autonomous vehicles, cooperative driving automation in complex traffic environments, and roadside-device-based localization and work zone data detection.
Education
  • B.S. (2020) and M.S. (2022) in Traffic Engineering from Southeast University, Nanjing, China; currently a Ph.D. student in Civil and Environmental Engineering at the University of Wisconsin-Madison, supervised by Prof. Bin Ran.
Background
  • Research Interests: Integration and innovation of artificial intelligence and machine learning in connected and autonomous vehicles and intelligent transportation systems; Human-driven vehicle motion prediction and autonomous vehicle trajectory planning; Intelligent transportation system integration powered by large language models; Spatiotemporal data modeling and transportation network analysis; Development of V2X communication data pipeline systems. Brief introduction: Currently a third-year Ph.D. student in Civil and Environmental Engineering at the University of Wisconsin-Madison, focusing on the research and development of intelligent connected autonomous vehicles and infrastructures, aiming to advance autonomous driving technology in complex traffic scenarios through leveraging AI, ML, and big data.
Miscellany
  • No information provided regarding personal interests or hobbies.